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A lncRNA-disease association prediction model based on the two-step PU learning and fully connected neural networks
Long non-coding RNAs (lncRNAs) have been shown to play a regulatory role in various processes of human diseases. However, lncRNA experiments are inefficient, time-consuming and highly subjective, so that the number of experimentally verified associations between lncRNA and diseases is limited. In th...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10395133/ https://www.ncbi.nlm.nih.gov/pubmed/37539215 http://dx.doi.org/10.1016/j.heliyon.2023.e17726 |